An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis
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DOI: 10.1016/j.neucom.2017.08.003
Abstract: Abstract Semi-supervised discriminant analysis (SDA) has been attracting much attention as it utilizes both of labeled and unlabeled data simultaneously. Current SDA method estimates the labels of unlabeled data just in the original data space.… read more here.
Keywords: sda; supervised discriminant; discriminant analysis; semi supervised ... See more keywords